CMOS‐Integrated Synaptic Photoreceptor Chip Inspired by Insect Visual Processing
, this neuromorphic photoreceptor chip exhibits high-fidelity discrimination between purple and red features. Through light pulse sequence modulation, it achieves temporal encoding of dynamic visual information and can precisely identify leaf movement trajectories in eight directions. We further achieved 3D perception capabilities, attaining 99.4% accuracy in classification tasks. This work establishes a novel 1D/2D/3D heterogeneously integrated material platform and a CMOS-compatible integration strategy for a low-power, multifunctional brain-inspired neuromorphic sensor chip, advancing the application of optoelectronic devices in artificial intelligence and machine vision.
Authors
- Xin He (ORCID: https://orcid.org/0000-0001-7009-2826)
- Xiaolei Ding (ORCID: https://orcid.org/0000-0001-8379-8510)
- Luyao Ma
- Fei Xue (ORCID: https://orcid.org/0000-0001-9039-7088)
- Bin Yu (ORCID: https://orcid.org/0000-0001-5959-0971)
- Zhenyi Ni (ORCID: https://orcid.org/0000-0002-8379-9182)
- Srikrishna Chanakya Bodepudi (ORCID: https://orcid.org/0000-0003-4519-581X)
- Yue Wang (ORCID: https://orcid.org/0000-0002-3766-3698)
- Lingfei Li (ORCID: https://orcid.org/0000-0003-3573-6475)
- R. Yuan (ORCID: https://orcid.org/0000-0002-8452-0315)
- Jiangming Lin
- Yongliang Xie
- Shukai Duan
- Baoshi Qiao
- Hailiang Wang
- Xiaochen Wang
- Haoyu Wang
- Feichi Zhou (ORCID: https://orcid.org/0000-0001-7756-1082)
- Huan Hu
- Hao Ning
- Xinwei Zhang
- Xinyi Xu
- Qihai Jiang
- Jian Chai
- Yunfei Xie
Institutions
- Southwest University (CN)
- Zhejiang University of Science and Technology (CN)
- Southern University of Science and Technology (CN)
- Zhejiang Lab (CN)
- Collaborative Innovation Center of Quantum Matter (CN)
- Zhejiang University-University of Edinburgh Institute (CN)
- Hangzhou Dianzi University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2026-04-21
- DOI
- https://doi.org/10.1002/advs.75388
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China